DE-Tisham

DE-Tisham's Stars

• unitreerobotics/unitree_sdk2

  Unitree robot sdk version 2. https://support.unitree.com/home/zh/developer

  Language:C++14060

• CityUHK-CompBio/DeepCC

  DeepCC: a novel deep learning-based framework for cancer molecular subtype classification

  Language:R2016

• llmware-ai/llmware

  Unified framework for building enterprise RAG pipelines with small, specialized models

  Language:Python5.4k1.3k

• zappa/Zappa

  Serverless Python

  Language:Python3.3k363

• Ronik22/Django_Social_Network_App

  A Social Media Web-Application with Chat and Video Call functionality, made with Django.

  Language:HTML18253

• jazzband/django-two-factor-auth

  Complete Two-Factor Authentication for Django providing the easiest integration into most Django projects.

  Language:Python1.7k443

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.1k1.2k

• ArjanCodes/examples

  All the code examples I use in my videos

  Language:HTML419147

• MolecularAI/Reinvent

  Language:Python337110

• MolecularAI/REINVENT4

  AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

  Language:Python33284

• gashawmg/gradient-descent-algorithm

  implementing gradient descent using temperature data

  Language:Jupyter Notebook11

• YinLiLin/KAML

  :bicyclist: Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction

  Language:R4113

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k

• mims-harvard/graphml-tutorials

  Tutorials for Machine Learning on Graphs

  Language:Jupyter Notebook20655

• mims-harvard/GraphXAI

  GraphXAI: Resource to support the development and evaluation of GNN explainers

  Language:Python16629

• jacobian/infosec-engineering

  A reading list for infosec engineers

  53639

• wtsi-hgi/exomeQC-hail-gnomad

  Code repository for sample and variant qc for Sanger cohorts using hail and gnomad qc code.

  Language:Jupyter Notebook12

• mcoggins96/Quantum-Computing-UK-Repository

  This repository contains all of the code found in the quantum computing tutorials at : https://quantumcomputinguk.org.

  Language:Python9733

• sportingCode/SWIMmeR

  R version of SWIM (SWItchMiner) - a computational tool to unveiling crucial nodes in complex biological networks

  Language:R73

• dwave-examples/mutual-information-feature-selection

  Use mutual information to select features in a Titanic data set

  Language:Python3030

• dwave-examples/feature-selection-notebook

  Feature selection for machine learning using mutual information.

  Language:Jupyter Notebook1110

• dwavesystems/dwave-networkx

  D-Wave Systems extension of the NetworkX Python package for graphs and graph algorithms.

  Language:Python8956

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k327

• google-research/t5x

  Language:Python2.7k303

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Python6.1k639

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.3k2.8k

• eamid/examples

  A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap

  Language:Jupyter Notebook295

• eamid/trimap

  TriMap: Large-scale Dimensionality Reduction Using Triplets

  Language:Python30220

• waynebhayes/SANA

  Simulating Annealing Network Aligner

  Language:Game Maker Language2540

• mlabonne/graph-neural-network-course

  Free hands-on course about Graph Neural Networks using PyTorch Geometric.

  Language:Jupyter Notebook28658