Hari-vm-01
ML| AI| Deep Learning| NLP| Statistical Signal Processing & Estimation.... Read Research Papers-> Implement-> Code
Hari-vm-01's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
pytorch/tutorials
PyTorch tutorials.
JuliaLinearAlgebra/IterativeSolvers.jl
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
hardmaru/WorldModelsExperiments
World Models Experiments
fairmlbook/fairmlbook.github.io
LMescheder/GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
mlcommons/training
Reference implementations of MLPerf™ training benchmarks
tkarras/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
isocpp/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
dustinvtran/latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
google-research/dex-lang
Research language for array processing in the Haskell/ML family
alpa-projects/alpa
Training and serving large-scale neural networks with auto parallelization.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python