Pinned Repositories
bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
kaggle-review
kaggle_Microsoft_Malware
code for kaggle competition Microsoft malware classification
light-ffm
notebooks-extended
RAPIDS Community Notebooks
rapids-ai-BBO-2nd-place-solution
Rapids-microsoft-malware
Rapids_PLAsTiCC_2018
stack-nn-tensorflow
tradeshift-text-classification
This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-classification
daxiongshu's Repositories
daxiongshu/rapids-ai-BBO-2nd-place-solution
daxiongshu/triton_amex
daxiongshu/rapids_nips_blog
daxiongshu/bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
daxiongshu/odsc-hackathon-webinar-demo-notebooks
daxiongshu/PCQM4Mv2_subs
daxiongshu/Kaggle-OTTO-Comp
daxiongshu/kaggle_utils
utilities for ml competitions like kaggle
daxiongshu/rapids-demos
daxiongshu/agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
daxiongshu/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
daxiongshu/bbo_challenge_starter_kit
Starter kit for the black box optimization challenge at Neurips 2020
daxiongshu/cifar10
daxiongshu/CoAtGIN
CoAtGIN: Marrying Convolution and Attention for Graph-based Molecule Property Prediction
daxiongshu/cpp_utils
daxiongshu/cuml
cuML - RAPIDS Machine Learning Library
daxiongshu/cuml_tsne_debug
daxiongshu/cupy
NumPy-like API accelerated with CUDA
daxiongshu/cython-bind-c-example-2020
It shows you how to create a package with cython and c/cpp.
daxiongshu/dask
Parallel computing with task scheduling
daxiongshu/dask-glm
daxiongshu/demo
daxiongshu/fil_backend
FIL backend for the Triton Inference Server
daxiongshu/highgpu
daxiongshu/nbdev_tutorial
daxiongshu/nemo-langchain
daxiongshu/neurips2021_multimodal_topmethods
daxiongshu/riiid-rapids
daxiongshu/tensorrtllm_backend
The Triton TensorRT-LLM Backend
daxiongshu/trt-llm-rag-windows
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM