AmazaspShumik

AmazaspShumik's Stars

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16.1k375201.9k

• bloomberg/memray

  Memray is a memory profiler for Python

  Language:Python13.5k59203399

• karpathy/micrograd

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

  Language:Jupyter Notebook10.8k151311.6k

• numba/numba

  NumPy aware dynamic Python compiler using LLVM

  Language:Python10.1k1985.3k1.1k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.3k1216551.1k

• sourcerer-io/sourcerer-app

  🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.

  Language:Kotlin6.7k67372279

• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  Language:C++4k176199530

• fchollet/keras-resources

  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

  3.3k2166886

• mljar/mljar-supervised

  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

  Language:Python3.1k50663411

• keras-team/keras-tuner

  A Hyperparameter Tuning Library for Keras

  Language:Python2.9k61492396

• reneargento/algorithms-sedgewick-wayne

  Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne

  Language:Java2.3k65245667

• h5py/h5py

  HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

  Language:Python2.1k591.6k531

• ageron/tf2_course

  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

  Language:Jupyter Notebook1.9k9415541

• digantamisra98/Mish

  Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

  Language:Jupyter Notebook1.3k2833130

• MaurizioFD/RecSys2019_DeepLearning_Evaluation

  This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

  Language:Python9863914249

• neoml-lib/neoml

  Machine learning framework for both deep learning and traditional algorithms

  Language:C++7723066126

• chihming/competitive-recsys

  A collection of resources for Recommender Systems (RecSys)

  531360115

• hexiangnan/neural_factorization_machine

  TenforFlow Implementation of Neural Factorization Machine

  Language:Python4701813185

• mkocabas/focal-loss-keras

  Focal Loss implementation in Keras

  Language:Python328151874

• umbertogriffo/focal-loss-keras

  Binary and Categorical Focal loss implementation in Keras.

  Language:Python278101767

• ndrplz/google-drive-downloader

  Minimal class to download shared files from Google Drive.

  Language:Python269132063

• debasishg/ml-readings

  A list of papers / videos / tutorials / blog posts on machine learning

  Language:Jupyter Notebook10413027

• simon-larsson/keras-swa

  Simple stochastic weight averaging callback for Keras

  Language:Python636813

• MaxHalford/clavier

  🔤 Measure edit distance based on keyboard layout

  Language:Python58302

• AmazaspShumik/mtlearn

  Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

  Language:Python51315

• liyinxiao/Ranking_Papers

  Papers on recommendation system / search ranking.

  387112

• forrestrice/bridge-bots

  Data Processing and Machine Learning for Contract Bridge

  Language:Jupyter Notebook16279

• arstepanyan/deep-search

  Deep learning-powered search service to find segments of videos

  Language:Jupyter Notebook8101

• antwhite/oc-webpack

  Using webpack to build open components

  Language:JavaScript3010

• forrestrice/rl-study-group

  Work for reinforcement learning study group

  Language:Python2000