CoDe10X's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
PacktPublishing/Data-Engineering-with-AWS
Data Engineering with AWS, Published by Packt
microsoft/evodiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models
jamalmehr19/Food_Mart_Data_Model
Using sample data from a fictional supermarket chain (Food mart data), I applied Power Query to perform shaping, blending and exploring my project files, and created completely automated loading procedures. From there I applied Data Modeling to design database and perform normalization including table relationships, cardinality, and hierarchies. I created my own relational database to analyze throughout the project. Next, I used Power Pivot and DAX to explore and analyze my data model.
aagrawal207/Artificial-Intelligence-Lab
For all the examples, test programs and assignments
meta-llama/llama
Inference code for Llama models
ziglang/zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
DAGWorks-Inc/hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
bigcode-project/starcoder
Home of StarCoder: fine-tuning & inference!
NomarCub/obsidian-open-vscode
Open vault in VSCode button for Obsidian.md
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
jcpeterson/openwebtext
Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.
gretelai/awesome-synthetic-data
📖 A curated list of resources dedicated to synthetic data
statice/awesome-synthetic-data
A curated list of awesome synthetic data tools (open source and commercial).
NotWoods/spherical-geometry-js
This library provides classes and functions for the computation of geometric data on the surface of the Earth. Code ported from the Google Maps Javascript API v3 and tubalmartin/spherical-geometry.
amanjeetsahu/AI-for-Healthcare-Nanodegree
Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
monk1337/Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
medtorch/awesome-healthcare-ai
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
kaymen99/Healthcare-AI-WebApp
AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
aaryapatel007/Motion-Compensated-Pulse-Rate-Estimation
Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.
edaaydinea/AI-Projects-for-Healthcare
This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.
williamyang1991/VToonify
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
JacobBumgarner/learning-repo
My learning repository.
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
databrickslabs/geoscan
Geospatial clustering at massive scale
PacktPublishing/Machine-Learning-for-Healthcare-Analytics-Projects
Published by Packt
Azure/cortana-intelligence-price-optimization
Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
AllenDowney/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition