mohitnihalani
Computer Science graduate student at NYU Courant, and am fascinated by the world of machine learning and distributed systems!. Currently, I am working at EchoAR
New York UniversityNew York
mohitnihalani's Stars
freqtrade/technical
Various indicators developed or collected for the Freqtrade
jokieleung/awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
CDTrans/CDTrans
[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
go-outside-labs/mev-toolkit
notes and resources on maximal extractable value (on the hope of non-predatory free markets in the metaweb)
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
endymecy/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
dk-liang/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
artix41/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
windmaple/awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
tigerneil/awesome-deep-rl
For deep RL and the future of AI.
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
sradc/SmallPebble
Minimal deep learning library written from scratch in Python, using NumPy/CuPy.
CryptoSignal/Crypto-Signal
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
daquexian/onnx-simplifier
Simplify your onnx model