sandeshkatakam
Deep Learning, Reinforcement Learning, Generative Models, Machine Learning Systems (MLSys)
Hyderabad, INDIA
sandeshkatakam's Stars
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
carbon-language/carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
syl20bnr/spacemacs
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
philc/vimium
The hacker's browser.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
tmuxinator/tmuxinator
Manage complex tmux sessions easily
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
nihalsid/mesh-gpt
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
chaoyi-wu/PMC-LLaMA
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
stefanradev93/BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
llm-efficiency-challenge/neurips_llm_efficiency_challenge
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
toshikwa/rljax
A collection of RL algorithms written in JAX.
tianlinxu312/cot-gan
COT-GAN: Generating Sequential Data via Causal Optimal Transport
ashwinath/dotfiles
My work setup.
avik-pal/smthesis
On efficient training and inference of Neural Differential Equations
Coding-Club-IISER-Berhampur/coding-club-iiserbpr-website
Official website for the Coding and Robotics club of IISER Berhampur
Aniket1998/google-interview-university
A complete computer science study plan to become a software engineer.
mlresearch/v172
Proceedings of Medical Imaging with Deep Learning
sandeshkatakam/Fine-Tuning-LLaMA-7B
This repository contains code and other files related to the project "Fine-Tuning LLaMA Model" done at IIT Ropar as a part of the Indian Academy of Sciences SRFP Fellowship
sandeshkatakam/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
sandeshkatakam/kaggle-clouds-segmentation-challenge
This repository hosts the code for the kaggle challenge: "Understanding Clouds from Satellite Images"
ssnl/rlkit
Collection of reinforcement learning algorithms