jihobak

jihobak's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python277k6.6k30546.5k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.4k1.7k46.8k22.7k

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.1k47518.9k5.8k

• bitcoinbook/bitcoinbook

  Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

  Language:HTML23.6k1.1k3916k

• timescale/timescaledb

  An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

  Language:C17.9k3062.9k882

• kubeflow/kubeflow

  Machine Learning Toolkit for Kubernetes

  Language:TypeScript14.4k3623.8k2.4k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• torch/torch7

  http://torch.ch

  Language:C9k6247332.4k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k2001.1k987

• vespa-engine/vespa

  AI + Data, online. https://vespa.ai

  Language:Java5.8k1601k605

• ibab/tensorflow-wavenet

  A TensorFlow implementation of DeepMind's WaveNet paper

  Language:Python5.4k2642781.3k

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.5k591.4k617

• buriburisuri/speech-to-text-wavenet

  Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

  Language:Python4k197117793

• facebookresearch/ReAgent

  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

  Language:Python3.6k147109521

• man-group/arctic

  High performance datastore for time series and tick data

  Language:Python3.1k173556583

• cybertronai/gradient-checkpointing

  Make huge neural nets fit in memory

  Language:Python2.7k8242271

• google/tangent

  Source-to-Source Debuggable Derivatives in Pure Python

  Language:Python2.3k6656434

• golbin/TensorFlow-Tutorials

  텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

  Language:Python2.1k24748996

• BeanieODM/beanie

  Asynchronous Python ODM for MongoDB

  Language:Python2.1k18435219

• getlogbook/logbook

  A cool logging replacement for Python.

  Language:Python1.5k36180164

• vincentherrmann/pytorch-wavenet

  An implementation of WaveNet with fast generation

  Language:Jupyter Notebook9753040229

• google-research/batch-ppo

  Efficient Batched Reinforcement Learning in TensorFlow

  Language:Python9686823146

• cthorey/CS231

  My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

  Language:Jupyter Notebook591399285

• sjchoi86/bayes-nn

  Lecture notes on Bayesian deep learning

  480291114

• xbresson/spectral_graph_convnets

  PyTorch implementation of spectral graph ConvNets, NeurIPS’16

  Language:HTML29110668

• BeanieODM/bunnet

  Synchronous Python ODM for MongoDB

  Language:Python108485

• HamedMP/tensorflow_export_cpp_example

  Tutorial for how to export your tensorflow models in python to C++

  Language:PureBasic884520

• camisatx/pySecMaster

  An automated system to store and maintain financial data.

  Language:Python69162125

• jihobak/blowfish_quant

  Quantitative Trading

  Language:Jupyter Notebook15306

• keeyong/kafka

  Language:Python6113