krasserm

akka-analytics

Large-scale event processing with Akka Persistence and Apache Spark

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bot-with-plan

Separation of planning concerns in ReAct-style LLM agents. Planner fine-tuning on synthetic trajectories.

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

perceiver-io

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

streamz

A combinator library for integrating Functional Streams for Scala (FS2), Akka Streams and Apache Camel

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

eventuate

Global-scale event sourcing and event collaboration with causal consistency (This project is in maintenance mode. Only critical bugs will be fixed, but there is no more feature development.).

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

krasserm/super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

krasserm/perceiver-io

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

krasserm/face-recognition

Deep face recognition with Keras, Dlib and OpenCV

krasserm/machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

krasserm/fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

krasserm/streamz

A combinator library for integrating Functional Streams for Scala (FS2), Akka Streams and Apache Camel

krasserm/akka-persistence-kafka

A replicated Akka Persistence journal backed by Apache Kafka

krasserm/ipf

Open eHealth Integration Platform

krasserm/weightnorm

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

krasserm/bot-with-plan

Separation of planning concerns in ReAct-style LLM agents. Planner fine-tuning on synthetic trajectories.

krasserm/krasserm.github.io

krasserm/machine-learning-minis

Minimalistic example code for various machine learning and deep learning topics

krasserm/ipf-runtime

OSGi-based runtime environment for IPF applications

krasserm/sagemaker-tutorial

Multi-node, multi-GPU training with PyTorch Lightning on SageMaker

krasserm/pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

krasserm/visual-chatgpt

Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

krasserm/langchain

⚡ Building applications with LLMs through composability ⚡

krasserm/llama.cpp

Port of Facebook's LLaMA model in C/C++

krasserm/clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

krasserm/cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

krasserm/edward2

A simple probabilistic programming language.

krasserm/fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

krasserm/huggingface-training

Whirlwind tour through model training with Hugging Face tools based on minimalistic examples.

krasserm/ImageBind

ImageBind One Embedding Space to Bind Them All

krasserm/outlines

Generative Model Programming

krasserm/rotary-embedding-torch

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

krasserm/semantic-embeddings

Hierarchy-based Image Embeddings for Semantic Image Retrieval

krasserm/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

krasserm/transformers-agent-examples