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30days-of-gcp

Resources for the 30 Days of GCP program

amorf-regression-for-multi--target

A Multi-Output Regression Framework in Python

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

bayes-toolbox

bayes-toolbox

bitsandbytes-windows

8-bit CUDA functions for PyTorch in Windows 10

bus-arrival-convlstm

Bus travel time and arrival prediction using ConvLSTM neural networks

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

coursera---datastructures-and-algorithm-specialization-solutions

coursera-practical-data-science-specialization

Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

develop-multi-output-regression-models

directml

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

effective-mlops-model-development

Educational materials on deep learning by Weights & Biases

essential-math-for-ai

This repository contains the supplementary material associated with my book: Essential Math for AI published by O'Reilly Media

gradient-boosted-neural-network-multi-output

Gradient Boosted Neural Network - Multi Output

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

imagebind

ImageBind One Embedding Space to Bind Them All

keras

Deep Learning for humans

kkndme_tianya

天涯 kkndme 神贴聊房价

langchain

🦜🔗 Build context-aware reasoning applications

leetcode-solutions-in-good-style

首页已经更新，希望能对大家有帮助。

llama

Inference code for LLaMA models

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

llm-foundry

LLM training code for MosaicML foundation models

loan-approval-prediction

Launch machine learning models into production using flask

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn