Kadakol's Stars
adam-maj/deep-learning
A deep-dive on the entire history of deep-learning
fastai/lm-hackers
Hackers' Guide to Language Models
chxy95/HDRUNet
CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.
TheAlgorithms/Python
All Algorithms implemented in Python
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
open-mmlab/mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
ChrisCummins/ProGraML
A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
ithemal/Ithemal
Instruction THroughput Estimator using MAchine Learning (ITHEMAL)
tech-srl/code2seq
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
intel/neuro-vectorizer
NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops in C and C++ codes.
tech-srl/code2vec
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"