sanuj's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
facebookresearch/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
kimiyoung/transformer-xl
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
ryankiros/neural-storyteller
A recurrent neural network for generating little stories about images
Shujian2015/FreeML
A List of Data Science/Machine Learning Resources (Mostly Free)
budzianowski/multiwoz
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
diegoalejogm/gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
jiweil/Neural-Dialogue-Generation
google-research-datasets/dstc8-schema-guided-dialogue
The Schema-Guided Dialogue Dataset
mnielsen/notes-on-writing
Notes on writing
krocki/dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
jacobandreas/nmn2
Neural module networks
hrpan/tetris_mcts
MCTS project for Tetris
snakeztc/NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
shinseung428/gan_numpy
HarshTrivedi/packing-unpacking-pytorch-minimal-tutorial
Minimal tutorial on packing and unpacking sequences in pytorch
salesforce/glad
Global-Locally Self-Attentive Dialogue State Tracker
nmrksic/neural-belief-tracker
Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)
skaae/vaeblog
osmanio2/multi-domain-belief-tracking
The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper