Birch-san

Loading LLaMA via Huggingface + Safetensors, with 4-bit quantization

Let's say we're trying to load a LLaMA model via AutoModelForCausalLM.from_pretrained with 4-bit quantization in order to inference from it:

python -m generate.py

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, LlamaTokenizerFast, LlamaForCausalLM
import transformers

Birch-san

Fine-tuning LLaMA-7B on ~12GB VRAM with QLoRA, 4-bit quantization

nvidia-smi said this required 11181MiB, at least to train on the sequence lengths of prompt that occurred initially in the alpaca dataset (~337 token long prompts).
You can get this down to about 10.9GB if (by modifying qlora.py) you run torch.cuda.empty_cache() after PEFT has been applied to your loaded model and before you begin training.

Setup

All instructions are written assuming your command-line shell is bash.

Clone repository:

hollance

/*
  Joseph Weizenbaum's classic ELIZA chat bot in Swift.

  Based on the IBM PC BASIC program from CREATIVE COMPUTING by Patricia
  Danielson and Paul Hashfield, and the Java adaptation by Jesper Juul.
  
  Run this script from Terminal:
  $ swift eliza.swift
  
  Press Ctrl-C or Ctrl-D to quit. (Or type "shut up".)

nrollr

Install MySQL on macOS Sierra

This procedure explains how to install MySQL using Homebrew on macOS Sierra 10.12

Install Homebrew

• Installing Homebrew is effortless, open Terminal and enter :
  $ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
• Note: Homebrew will download and install Command Line Tools for Xcode 8.0 as part of the installation process.

Install MySQL

At this time of writing, Homebrew has MySQL version 5.7.15 as default formulae in its main repository :

doctorpangloss

#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
#   We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
#   So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
#   you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
#   Register and download from https://developer.nvidia.com/cuda-release-candidate-download

mackuba

Following the tradition from last year, here's my complete list of all interesting features and updates I could find in Apple's OSes, SDKs and developer tools that were announced at this year's WWDC. This is based on the keynotes, the "What's New In ..." presentations and some others, Apple's release notes, and blog posts and tweets that I came across in the last few weeks.

If for some reason you haven't watched the talks yet, I really recommend watching at least the "State of the Union" and the "What's New In" intros for the platforms you're interested in. The unofficial WWDC Mac app is great way to download the videos and keep track of what you've already watched.

If you're interested, here are my WWDC 2015 notes (might be useful if you're planning to drop support for iOS 8 now and start using some iOS 9 APIs).

---

OSX → macOS 10.12 Sierra

chriseidhof

// gem install cocoapods-playgrounds
// pod playgrounds LibYAML

// Update: @floriankugler had a great idea to use UnsafeBufferPointer

// Paste in the following:

import LibYAML

public struct YAMLError: ErrorType {

GilLevi

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

armadsen

#!/bin/bash

# This script builds the iOS and Mac openSSL libraries with Bitcode enabled
# Download openssl http://www.openssl.org/source/ and place the tarball next to this script

# Credits:
# https://github.com/st3fan/ios-openssl
# https://github.com/x2on/OpenSSL-for-iPhone/blob/master/build-libssl.sh
# Peter Steinberger, PSPDFKit GmbH, @steipete.
# Doron Adler, GlideTalk, @Norod78

steventroughtonsmith

/* How to Hook with Logos
 Hooks are written with syntax similar to that of an Objective-C @implementation.
 You don't need to #include <substrate.h>, it will be done automatically, as will
 the generation of a class list and an automatic constructor.
 
 %hook ClassName
 
 // Hooking a class method
 + (id)sharedInstance {