bhargavak1409

bhargavak1409's Stars

• tiffanyding/class-conditional-conformal

  Language:Jupyter Notebook164

• arcee-ai/mergekit

  Tools for merging pretrained large language models.

  Language:Python5.1k472

• HITESHLPATEL/Mamba-Papers

  Awesome Mamba Papers: A Curated Collection of Research Papers , Tutorials & Blogs

  236

• layer6ai-labs/dgm-eval

  Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

  Language:Jupyter Notebook15513

• eugeneyan/ml-surveys

  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

  2.8k290

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k3.7k

• afshinea/stanford-cs-221-artificial-intelligence

  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

  2.6k507

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k1.4k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k4k

• haven-ai/haven-ai

  To Run, Manage and Visualize Large Scale Experiments

  Language:Python16536

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• Styrke/master-code

  Code for master's thesis

  Language:Python71

• mikkelbrusen/embeddings-in-ppt

  Evaluation of Pre-trained Amino Acid Embeddings in Protein Prediction Tasks done in PyTorch

  Language:Jupyter Notebook31

• thushv89/attention_keras

  Keras Layer implementation of Attention for Sequential models

  Language:Python444266

• yaolubrain/NLP_course_projects

  Language:Python31

• ccombier/stanford-CS229

  Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

  Language:Jupyter Notebook377157

• DeepLearningDTU/02456-deep-learning-with-PyTorch

  Exercises and supplementary material for the deep learning course 02456 using PyTorch.

  Language:Jupyter Notebook328455

• huggingface/awesome-papers

  Papers & presentation materials from Hugging Face's internal science day

  2k119

• bhargavak1409/udacity-nanodegrees

  :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula

  1

• bhargavak1409/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  1

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.6k3.1k

• tirthajyoti/Machine-Learning-with-Python

  Practice and tutorial-style notebooks covering wide variety of machine learning techniques

  Language:Jupyter Notebook3.1k1.8k

• bhargavak1409/simglucose

  A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

  Language:Python1

• akshett/NASDAQ-ITCH-parser

  Language:Python1412

• codeAshu/SparkAlgorithms

  Additional useful algorithms that can be used with spark.

  Language:Scala136

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala40.3k28.4k

• maximedb/stock2vec

  Language:TeX42

• maximedb/nlp_papers

  NLP papers applicable to financial markets

  13631

• PhoenixDD/Hedge-Fund-replication

  This project tries to replicate hedge funds returns.

  Language:R229

• adnanaziz/EPIJudge

  EPI Judge - Preview Release

  Language:C++2.8k1.9k