Torsten Scholak (tscholak)

tscholak

Geek Repo

Company:@ServiceNow

Location:Montreal

Home Page:http://tscholak.github.io

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Organizations
hasktorch

Torsten Scholak's repositories

two-layer-network

Hasktorch two-layer network example project

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hasktorch

Tensors and neural networks in Haskell

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gen_tm

term generator for simply typed lambda calculus, combinatory logic.

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active

Time-varying values with start and end times.

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cheese

Used for adaptive human in the loop evaluation of language and embedding models.

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declarative-programming-streams

Active streaming declarative programmers. See who's online at the following URL:

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dex-lang

Research language for array processing in the Haskell/ML family

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fauxpilot

FauxPilot - an open-source GitHub Copilot server

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haskell-language-server

Integration point for ghcide and haskell-ide-engine. One IDE to rule them all.

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haskell.nix

Alternative Haskell Infrastructure for Nixpkgs

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hasktorch-naperian

integrating Naperian functors with Hasktorch

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Idris2

A purely functional programming language with first class types

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ihp

λ IHP is a modern batteries-included Web Framework, built on top of Haskell and Nix.

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libtorch-nix

stable nix scripts for pytorch-related stuff

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linklater

A Haskell library for the Slack API (including real-time messaging!)

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ml4code.github.io

Website for "A Survey of Machine Learning for Big Code and Naturalness"

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mustache

Haskell implementation of mustache templates

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nix-devcontainer-python-jupyter

Example dev environment project of using nix devcontainer for python and jupyter notebooks.

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outlines

Guided Text Generation

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queryparser

Parsing and analysis of Vertica, Hive, and Presto SQL.

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slick

Static site generator built on Shake configured in Haskell

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slick-template

A template for quickly building sites with slick

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synthesis

code-base for my UvA MSc AI thesis on typed neural program synthesis

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text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

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transformers

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

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website

Torsten Scholak’s personal website

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