Pinned Repositories
automatic-differentiation-framework
an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
basic_algorithms
基本算法
diffpool
FP_growth
FP_growth in java
interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
lockFreeParallelFrameWork
lockFreeParallelFrameWork
machine_learning
machine_learning in python
raft
分布式数据库一致性组件
raftClient
ray-tracing-rendering
简单的光线追踪渲染demo
zakheav's Repositories
zakheav/automatic-differentiation-framework
an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
zakheav/basic_algorithms
基本算法
zakheav/diffpool
zakheav/interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
zakheav/machine_learning
machine_learning in python
zakheav/toy_compiler
zakheav/aliyun-oss-c-sdk
Aliyun OSS SDK for C
zakheav/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
zakheav/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
zakheav/Bayes-by-Backprop-1
TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
zakheav/bigdata-examples
分享一些在工作中的大数据实战案例,包括flink、kafka、hadoop、presto等等。欢迎大家关注我的公众号【大数据技术与应用实战】,一起成长。
zakheav/build-your-own-x
🤓 Build your own (insert technology here)
zakheav/CUDALibrarySamples
CUDA Library Samples
zakheav/flink-learning
flink learning blog. http://www.flink-learning.com 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
zakheav/graph-neural-pde
Graph Neural PDEs
zakheav/hgnn
Hyperbolic Graph Neural Networks
zakheav/jna-example
Simple example on how to use C code on Java
zakheav/JNI-By-Examples
🎇Fun Java JNI By Examples - with CMake and C++ (or C, of course!) ‼️ Accepting PRs
zakheav/katib
Repository for hyperparameter tuning
zakheav/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
zakheav/mac
bytecode interpreter in c (blog post)
zakheav/Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
zakheav/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
zakheav/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
zakheav/protobuf
Protocol Buffers - Google's data interchange format
zakheav/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
zakheav/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
zakheav/tensorflow
An Open Source Machine Learning Framework for Everyone
zakheav/TF-Sonnet-BayesByBackprop
Bayes by Backprop implementation using Sonnet + Tensorflow + tf.distributions
zakheav/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.