Computational Physics, ML, DL

README.md

@@ -30,6 +30,7 @@ Table of Contents
 - [Security](#security)
 - [Computer Graphics](#computer-graphics)
 - [Image Processing and Computer Vision](#image-processing-and-computer-vision)
+- [Computational Physics](#computational-physics)
 - [Computational Biology](#computational-biology)
 - [Quantum Computing](#quantum-computing)
 - [Robotics](#robotics)
@@ -296,6 +297,9 @@ Table of Contents
   - [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
   - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn))
   - [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
+  - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)
+  - [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83)
+  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh)
   - [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
   - [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
   - [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/) ([Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O))
@@ -343,6 +347,9 @@ Table of Contents
   - [ORIE 4741/5741: Learning with Big Messy Data - Cornell](https://people.orie.cornell.edu/mru8/orie4741/lectures.html)
   - [Machine Learning in IoT](https://www.youtube.com/playlist?list=PLeZoXD_TLsLbW_ILvL9TlhBYdW8wJyON-)
   - [Stanford CS229M: Machine Learning Theory - Fall 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh)
+  - [Intro to Machine Learning and Statistical Pattern Classification - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3)
+  - [CMU's Multimodal Machine Learning course (11-777), Fall 2020](https://www.youtube.com/playlist?list=PL-Fhd_vrvisNup9YQs_TdLW7DQz-lda0G)
+  - [EE104: Introduction to Machine Learning - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
 - **Data Mining**
   - [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))
   - [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB))
@@ -382,7 +389,11 @@ Table of Contents
   - [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
   - [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
   - [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
+  - [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
   - [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
+  - [CS231n Deep Learning for Computer Vision - Winter 2016 Andrej Karpathy - Stanford University](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC)
+  - [Deep Learning: CS 182 Spring 2021](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
+  - [10-414/714: Deep Learning Systems - CMU](https://dlsyscourse.org/lectures/) ([Youtube](https://www.youtube.com/@deeplearningsystemscourse1116/videos))
   - [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
   - [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
   - [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
@@ -407,6 +418,10 @@ Table of Contents
   - [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
   - [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)
   - [Applied Deep Learning 2022 - TU Wien](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE_QaTwYxoTmmRJHtMXyIAU6)
+  - [Neural Networks: Zero to Hero - Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
+  - [CIS 522 - Deep Learning - U Penn](https://www.youtube.com/@cis522-deeplearning8/playlists)
+  - [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
+  - [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)
 - **Reinforcement Learning**
   - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
   - [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
@@ -464,6 +479,7 @@ Table of Contents
   - [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)
 - **Misc Machine Learning Topics**
   - [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
+  - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
   - [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
   - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
   - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
@@ -830,6 +846,14 @@ Table of Contents
 - [3D Computer Vision - National University of Singapore](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)
 ------------------------------
 
+### Computational Physics
+
+- [Astronomical data analysis using Python 2021 - NRC IUCAA](https://www.youtube.com/playlist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)
+- [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https://www.youtube.com/playlist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)
+- [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)
+
+------------------------------
+
 ### Computational Biology
 
 - [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs124videos/videolist.html) ([YouTube](https://www.youtube.com/playlist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))
@@ -854,6 +878,7 @@ Table of Contents
 - [Frontiers of Biomedical Engineering with W. Mark Saltzman - Yale](https://www.youtube.com/playlist?list=PL27E877E8206F196B)
 - [NOC:Computational Systems Biology - IIT Madras](https://nptel.ac.in/courses/102/106/102106068/)
 - [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https://nptel.ac.in/courses/102/106/102106065/)
+- [Data Science and AI for Neuroscience Summer School - Caltech Neuroscience](https://www.youtube.com/playlist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp)
 
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