alokranjan1234's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
kamranahmedse/design-patterns-for-humans
An ultra-simplified explanation to design patterns
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
videolan/vlc
VLC media player - All pull requests are ignored, please use MRs on https://code.videolan.org/videolan/vlc
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Hvass-Labs/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
1adrianb/face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Kyubyong/nlp_tasks
Natural Language Processing Tasks and References
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
soumith/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
KupynOrest/DeblurGAN
Image Deblurring using Generative Adversarial Networks
dalmia/Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
loretoparisi/CapsNet
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
conversationai/unintended-ml-bias-analysis
llSourcell/AI_Composer
AI Composer for Machine Learning for Hackers #2
philbort/awesome-self-driving-cars
An awesome list of self-driving cars
llSourcell/A-Guide-to-DeepMinds-StarCraft-AI-Environment
This is the code for "A Guide to DeepMind's StarCraft AI Environment" by Siraj Raval on Youtube
NVIDIA-Korea/deep-learning-workshop
Deep learning workshop materials
llSourcell/what_is_an_initial_coin_offering
This is the code for What is an Initial Coin Offering?" By Siraj Raval on Youtube
hardik2396/Paraphrase-Classification
natank1/HMC_Sampler
Hybrid Monte Carlo using pytorch -python 2.7
alokranjan1234/Deep-Learning